Carlos Miguel Patiño

According to our database, Carlos Miguel Patiño authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty.

Santiago Cortes-Gomez, Mateo Dulce-Rubio, Carlos Miguel Patiño, Bryan Wilder

CoRR, May, 2026

2025

Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets.

Nicolas Lapautre, Maria Marchenko, Carlos Miguel Patiño, Xin Zhou

CoRR, August, 2025

Reproducibility Study of "Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation".

Jose L. Garcia, Karolina Hajkova, Maria Marchenko, Carlos Miguel Patiño

Trans. Mach. Learn. Res., 2025

Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification.

Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Effect of Semantically Aligned Images for Deepfake Detection.

Aritra Bandyopadhyay, Tyme Chatupanyachotikul, Jose L. Garcia, Arijit Ghosh, Karolina Hajkova, Carlos Miguel Patiño, Ivona Najdenkoska

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Predicting Language Models' Success at Zero-Shot Probabilistic Prediction.

Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Decision-Focused Uncertainty Quantification.

Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder

CoRR, 2024

Statistical Inference Under Constrained Selection Bias.

Santiago Cortes-Gomez, Mateo Dulce-Rubio, Carlos Miguel Patiño, Bryan Wilder

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2020

Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems.

Carlos Miguel Patiño, Camilo Velásquez, Juan Manuel Muñoz, Juan Manuel Gutiérrez, David Ricardo Valencia, Cristian Bartolome Aramburu

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020